In [1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
In [2]:
data=pd.read_csv('C:/Users/Rakesh/Datasets/unemployment.csv')
In [3]:
data.head()
Out[3]:
Region Date Frequency Estimated Unemployment Rate (%) Estimated Employed Estimated Labour Participation Rate (%) Region.1 longitude latitude
0 Andhra Pradesh 31-01-2020 M 5.48 16635535 41.02 South 15.9129 79.74
1 Andhra Pradesh 29-02-2020 M 5.83 16545652 40.90 South 15.9129 79.74
2 Andhra Pradesh 31-03-2020 M 5.79 15881197 39.18 South 15.9129 79.74
3 Andhra Pradesh 30-04-2020 M 20.51 11336911 33.10 South 15.9129 79.74
4 Andhra Pradesh 31-05-2020 M 17.43 12988845 36.46 South 15.9129 79.74
In [4]:
data.columns=['States','Date','Frequency','Estimated Unemployment Rate','Estimated Employed','Estimated Labour Participation Rate','Region','longitude','latitude']
In [5]:
data.head()
Out[5]:
States Date Frequency Estimated Unemployment Rate Estimated Employed Estimated Labour Participation Rate Region longitude latitude
0 Andhra Pradesh 31-01-2020 M 5.48 16635535 41.02 South 15.9129 79.74
1 Andhra Pradesh 29-02-2020 M 5.83 16545652 40.90 South 15.9129 79.74
2 Andhra Pradesh 31-03-2020 M 5.79 15881197 39.18 South 15.9129 79.74
3 Andhra Pradesh 30-04-2020 M 20.51 11336911 33.10 South 15.9129 79.74
4 Andhra Pradesh 31-05-2020 M 17.43 12988845 36.46 South 15.9129 79.74
In [6]:
plt.style.use('seaborn-whitegrid')
plt.figure(figsize=(12,10))
sns.heatmap(data.corr())
plt.show()
In [8]:
data.columns= ["States","Date","Frequency",
               "Estimated Unemployment Rate","Estimated Employed",
               "Estimated Labour Participation Rate","Region",
               "longitude","latitude"]
plt.title('Indian Unemployment')
sns.histplot(x='Estimated Employed', hue='Region', data=data)
plt.show()
In [9]:
plt.title("Indian Unemployment")
sns.histplot(x="Estimated Unemployment Rate", hue="Region", data=data)
plt.show()

Dashboard to analyze the unemployment rate of each Indian state by region¶

In [10]:
unemployment=data[['States','Region','Estimated Unemployment Rate']]
figure=px.sunburst(unemployment,path=['Region','States'], values='Estimated Unemployment Rate', width=700, height=700, color_continuous_scale='RdY1Gn',title='Unemployment Rate In India')
figure.show()

C:\Users\Rakesh\Downloads\Anaconda\lib\site-packages\plotly\express\_core.py:1637: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df_all_trees = df_all_trees.append(df_tree, ignore_index=True)
C:\Users\Rakesh\Downloads\Anaconda\lib\site-packages\plotly\express\_core.py:1637: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df_all_trees = df_all_trees.append(df_tree, ignore_index=True)